Weekly Selection | SECT Capital Quant Research

Redacted — proprietary method withheld. The space is kept so you can see where detail exists.

These are the 10 names I am backing for the week of July 20, 2026, and below each one I show my work: the momentum, the technicals, the sentiment, the fundamentals, and the macro I am leaning on. I do not ask you to take the picks on faith — I ask you to read the evidence and disagree if you can. The pillar weights and a few model internals stay redacted because they are the edge; everything that can be shown, is.

Macro environment

VIX

16.73

10Y−2Y

+0.37

HY OAS

2.71

Unemployment

4.2

SPY 20d

+0.51%

Here is how I read the backdrop: volatility is cheap at 16.7 — barely 1.05% a day — and cheap vol is exactly where I watch crowding hardest, the 10y−2y curve has steepened to +0.37, a quieter vote of confidence in duration, high-yield spreads at 2.71 are still contained, so credit is not yet contradicting the tape, and the S&P's trailing month is +0.5%, the trend I am actually trading against.

Volatility is the first thing I price, because it sets the size of every other bet. I scale gross exposure inversely to realised vol — target the risk, not the notional — so a calmer tape lets the book breathe and a violent one pulls it in automatically:

\sigma_{\text{daily}}\approx\dfrac{\mathrm{VIX}}{\sqrt{252}}\qquad w_{\text{gross}}\;\propto\;\dfrac{\sigma_{\text{target}}}{\sigma_{\text{daily}}}

Source: fred · as of 2026-07-19

How I make the call

I score every candidate from 0–100 on several independent pillars, then collapse them into one composite. The weighting is the part I keep back, but the structure is simple:

\text{Composite}(x) \;=\; \sum_i w_i \, S_i(x)

where \(S_i\) is a pillar score and \(w_i\) its weight. The exact pillar weights are mine to keep, so they are withheld; what I will tell you is that a neutral-pillar guard drops any pillar sitting at 50 (no signal) and renormalises the rest, so a silent factor never dilutes a loud one.

For the expected weekly return I do not trust a raw historical average at a given score — small samples lie. I shrink it toward a prior, blending the realised returns of past names that scored nearby with that prior in proportion to how much evidence I actually have:

\hat{r}(s) \;=\; \frac{n\,\bar r_{\text{near}} + k\,\pi(s)}{n + k}

Here \(k\) (the shrinkage strength) and the prior \(\pi\) take proprietary values , and they are exactly what I re-estimate as new weeks land — this is where the framework learns. The standard indicator formulas below I show in full, because none of that is the edge.

Indicator formula reference

RSI: $$\mathrm{RSI}_{14}=100-\frac{100}{1+RS},\quad RS=\frac{\overline{\text{gain}}_{14}}{\overline{\text{loss}}_{14}}$$

MACD: $$\mathrm{MACD}=\mathrm{EMA}_{12}-\mathrm{EMA}_{26},\quad \text{signal}=\mathrm{EMA}_9(\mathrm{MACD})$$

ATR: $$\mathrm{ATR}_{14}=\tfrac{1}{14}\sum TR,\quad TR=\max\big(H-L,\,|H-C_{-1}|,\,|L-C_{-1}|\big)$$

Bollinger: $$\mathrm{BB}=\mathrm{SMA}_{20}\pm 2\,\sigma_{20}$$

Cross-sectional z: $$z=\frac{x-\mu}{\sigma}$$

The picks

#1 BLLN BLLN Health Care Composite 63.9 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	59.5
Catalyst	73.3
Sentiment	68.5
Technical	75.6
Fundamental	61.3
Smart Money		n/a
ML Ensemble		n/a
Composite	63.9	—
Universe percentile	98

Technicals (2026-06-15)

RSI(14)	59.6	ADX(14)	20.1
MACD	4.249	Signal	3.759
MACD hist	0.490	ATR(14)	6.67
SMA 20	94.07	SMA 50	88.21
SMA 200	n/a	Vol ratio	1.46
Boll upper	108.23	Boll lower	79.90
CCI(20)	90.2	MFI(14)	61.5

Sentiment & news

Fundamentals

P/E	782.2	PEG	n/a
P/B	7.80	P/S	19.11
ROE	7.6	ROA	5.2
Net margin	n/a	Rev growth	n/a
Debt/Equity	n/a	EPS growth	n/a

BLLN selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 63.9/100

#2 ORKA ORKA Biotechnology Composite 69.4 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	66.3
Catalyst	50.0	n/a
Sentiment	54.6
Technical	79.9
Fundamental	36.9
Smart Money		n/a
ML Ensemble
Composite	69.4	—
Universe percentile	95

Technicals (2026-06-17)

RSI(14)	62.1	ADX(14)	23.3
MACD	2.137	Signal	0.987
MACD hist	1.150	ATR(14)	3.69
SMA 20	62.21	SMA 50	64.44
SMA 200	38.41	Vol ratio	0.70
Boll upper	72.06	Boll lower	52.37
CCI(20)	125.7	MFI(14)	57.1

Sentiment & news

Fundamentals

P/E	n/a	PEG	n/a
P/B	3.11	P/S	119.31
ROE	-26.0	ROA	-25.0
Net margin	n/a	Rev growth	n/a
Debt/Equity	n/a	EPS growth	n/a

ORKA selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 69.4/100

#3 FRSH FRSH Technology Composite 59.9 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	49.3
Catalyst	50.0	n/a
Sentiment	62.9
Technical	60.6
Fundamental	70.3
Smart Money		n/a
ML Ensemble		n/a
Composite	59.9	—
Universe percentile	92

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	n/a	PEG	n/a
P/B	n/a	P/S	n/a
ROE	0.2	ROA	0.1
Net margin	0.2	Rev growth	0.2
Debt/Equity	n/a	EPS growth	3.0

FRSH selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 59.9/100

#4 ADPT ADPT Life Sciences Tools & Services Composite 56.0 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	61.3
Catalyst	80.0
Sentiment	57.3
Technical	61.5
Fundamental	46.4
Smart Money		n/a
ML Ensemble		n/a
Composite	56.0	—
Universe percentile	88

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	n/a	PEG	n/a
P/B	11.33	P/S	13.24
ROE	-24.3	ROA	-9.9
Net margin	n/a	Rev growth	55.9
Debt/Equity	n/a	EPS growth	n/a

ADPT selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 56.0/100

#5 SN SN Consumer products Composite 65.2 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	49.0
Catalyst	50.0	n/a
Sentiment	62.1
Technical	60.2
Fundamental	65.6
Smart Money		n/a
ML Ensemble
Composite	65.2	—
Universe percentile	85

Technicals

No indicators on file yet.

Sentiment & news

Here's What SharkNinja And Monster Beverage Have In Common [positive]
Here's What SharkNinja And Monster Beverage Have In Common [positive]
SharkNinja, Inc. (SN) Ascends While Market Falls: Some Facts to Note [neutral]

Fundamentals

P/E	31.2	PEG	n/a
P/B	5.90	P/S	3.42
ROE	28.1	ROA	14.2
Net margin	n/a	Rev growth	15.9
Debt/Equity	n/a	EPS growth	56.6

SN selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 65.2/100

#6 CB CB Insurance Composite 57.5 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	38.4
Catalyst	68.0
Sentiment	68.4
Technical	59.7
Fundamental	70.2
Smart Money		n/a
ML Ensemble		n/a
Composite	57.5	—
Universe percentile	82

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	13.2	PEG	n/a
P/B	1.67	P/S	2.30
ROE	15.7	ROA	4.2
Net margin	n/a	Rev growth	8.2
Debt/Equity	n/a	EPS growth	36.3

CB selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 57.5/100

#7 BWIN BWIN Insurance Composite 52.1 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	52.9
Catalyst	51.1
Sentiment	50.0	n/a
Technical	57.9
Fundamental	49.4
Smart Money		n/a
ML Ensemble		n/a
Composite	52.1	—
Universe percentile	78

Technicals

No indicators on file yet.

Sentiment & news

No sentiment or news collected yet.

Fundamentals

P/E	n/a	PEG	n/a
P/B	4.75	P/S	2.58
ROE	-6.5	ROA	-1.1
Net margin	n/a	Rev growth	14.2
Debt/Equity	n/a	EPS growth	n/a

BWIN selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 52.1/100

#8 EAT EAT Hotels, Restaurants & Leisure Composite 64.5 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	50.9
Catalyst	50.0	n/a
Sentiment	58.6
Technical	60.7
Fundamental	50.4
Smart Money		n/a
ML Ensemble
Composite	64.5	—
Universe percentile	75

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	21.2	PEG	n/a
P/B	21.17	P/S	1.51
ROE	123.4	ROA	17.0
Net margin	n/a	Rev growth	104.4
Debt/Equity	n/a	EPS growth	99.3

EAT selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 64.5/100

#9 ABBV ABBV Biotechnology Composite 69.1 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	42.0
Catalyst	62.0
Sentiment	62.4
Technical	71.0
Fundamental	54.7
Smart Money		n/a
ML Ensemble
Composite	69.1	—
Universe percentile	72

Technicals (2026-06-12)

RSI(14)	65.8	ADX(14)	20.8
MACD	4.505	Signal	3.671
MACD hist	0.834	ATR(14)	5.03
SMA 20	218.22	SMA 50	210.80
SMA 200	220.35	Vol ratio	0.69
Boll upper	229.65	Boll lower	206.80
CCI(20)	113.5	MFI(14)	65.2

Sentiment & news

Combined sentiment	+0.67	Momentum (WoW)	+0.53
News (pos/neg)	6/0	Social posts	9

Fundamentals

P/E	106.4	PEG	n/a
P/B	94.44	P/S	7.35
ROE	95.6	ROA	2.7
Net margin	n/a	Rev growth	9.5
Debt/Equity	n/a	EPS growth	-13.5

ABBV selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 69.1/100

#10 MBX MBX Pharmaceuticals Composite 34.7 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	62.8
Catalyst	50.0	n/a
Sentiment	50.0	n/a
Technical	63.5
Fundamental	45.7
Smart Money		n/a
ML Ensemble
Composite	34.7	—
Universe percentile	68

Technicals

No indicators on file yet.

Sentiment & news

No sentiment or news collected yet.

Fundamentals

P/E	n/a	PEG	n/a
P/B	3.84	P/S	n/a
ROE	-24.5	ROA	-23.6
Net margin	n/a	Rev growth	n/a
Debt/Equity	n/a	EPS growth	n/a

MBX selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 34.7/100

A standing note on method. I run this book in paper-trading mode, so every fill you see is simulated rather than a realised, audited track record — I would rather state that plainly than flatter the numbers. Nothing here is investment advice, an offer, or a solicitation; it is my own research, published so it can be read and argued with in the open. The blacked-out passages mark the parts of the process I keep proprietary. And because the framework recalibrates every week, where my read was wrong I expect the priors — not my ego — to be the first to say so.